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roberta-finetuned-WebClassification-v2-smalllinguaESv2

mnavas / roberta-finetuned-WebClassification-v2-smalllinguaESv2

Run on huggingface.co
huggingface.co
Total runs: 6
24-hour runs: 0
7-day runs: 0
30-day runs: 3
Model's Last Updated: October 19 2023
text-classification

Introduction of roberta-finetuned-WebClassification-v2-smalllinguaESv2

Model Details of roberta-finetuned-WebClassification-v2-smalllinguaESv2

roberta-finetuned-WebClassification-v2-smalllinguaESv2

This model is a fine-tuned version of xlm-roberta-base on the None dataset. It achieves the following results on the evaluation set:

  • Loss: 1.3862
  • Accuracy: 0.6909
  • F1: 0.6909
  • Precision: 0.6909
  • Recall: 0.6909
Model description

More information needed

Intended uses & limitations

More information needed

Training and evaluation data

More information needed

Training procedure
Training hyperparameters

The following hyperparameters were used during training:

  • learning_rate: 2e-05
  • train_batch_size: 8
  • eval_batch_size: 8
  • seed: 42
  • optimizer: Adam with betas=(0.9,0.999) and epsilon=1e-08
  • lr_scheduler_type: linear
  • num_epochs: 10
Training results
Training Loss Epoch Step Validation Loss Accuracy F1 Precision Recall
No log 1.0 28 2.9841 0.2 0.2000 0.2 0.2
No log 2.0 56 2.8109 0.1636 0.1636 0.1636 0.1636
No log 3.0 84 2.5334 0.3455 0.3455 0.3455 0.3455
No log 4.0 112 2.1164 0.5273 0.5273 0.5273 0.5273
No log 5.0 140 1.9152 0.5818 0.5818 0.5818 0.5818
No log 6.0 168 1.6678 0.6182 0.6182 0.6182 0.6182
No log 7.0 196 1.5647 0.6545 0.6545 0.6545 0.6545
No log 8.0 224 1.4473 0.6727 0.6727 0.6727 0.6727
No log 9.0 252 1.3862 0.6909 0.6909 0.6909 0.6909
No log 10.0 280 1.3647 0.6909 0.6909 0.6909 0.6909
Framework versions
  • Transformers 4.31.0.dev0
  • Pytorch 2.0.0
  • Datasets 2.1.0
  • Tokenizers 0.13.3

Runs of mnavas roberta-finetuned-WebClassification-v2-smalllinguaESv2 on huggingface.co

6
Total runs
0
24-hour runs
0
3-day runs
0
7-day runs
3
30-day runs

More Information About roberta-finetuned-WebClassification-v2-smalllinguaESv2 huggingface.co Model

More roberta-finetuned-WebClassification-v2-smalllinguaESv2 license Visit here:

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roberta-finetuned-WebClassification-v2-smalllinguaESv2 huggingface.co

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roberta-finetuned-WebClassification-v2-smalllinguaESv2 huggingface.co Url

https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaESv2

mnavas roberta-finetuned-WebClassification-v2-smalllinguaESv2 online free

roberta-finetuned-WebClassification-v2-smalllinguaESv2 huggingface.co is an online trial and call api platform, which integrates roberta-finetuned-WebClassification-v2-smalllinguaESv2's modeling effects, including api services, and provides a free online trial of roberta-finetuned-WebClassification-v2-smalllinguaESv2, you can try roberta-finetuned-WebClassification-v2-smalllinguaESv2 online for free by clicking the link below.

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https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaESv2

roberta-finetuned-WebClassification-v2-smalllinguaESv2 install

roberta-finetuned-WebClassification-v2-smalllinguaESv2 is an open source model from GitHub that offers a free installation service, and any user can find roberta-finetuned-WebClassification-v2-smalllinguaESv2 on GitHub to install. At the same time, huggingface.co provides the effect of roberta-finetuned-WebClassification-v2-smalllinguaESv2 install, users can directly use roberta-finetuned-WebClassification-v2-smalllinguaESv2 installed effect in huggingface.co for debugging and trial. It also supports api for free installation.

roberta-finetuned-WebClassification-v2-smalllinguaESv2 install url in huggingface.co:

https://huggingface.co/mnavas/roberta-finetuned-WebClassification-v2-smalllinguaESv2

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mnavas
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